nlp engineer

Tekskills Inc.

<div>
 
 
 Job Title: NLP Engineer
 
 
 
 
 Location: Hartford, CT 06156 (Onsite)
 
 
 
 
 Duration: 12 Months
 
 
 
 
 
 
 Must Have Skills
 
 
 <ul>
 <li>
 IBM watson X Orchestrate
 </li>
 <li>
 NLP
 </li>
 <li>
 Java, Node.js, or Python
 </li>
 </ul>
 
 
 
 
 Detailed Job Description
 
 
 <ul>
 <li>
 5 years software delivery experience3 years of Chatbot development experience with IBM WatsonX Orchestrate, or any other similar chatbot conversational AI tool i.e Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai3 years training and improving intent recognition by curating the appropriate training data sets3 years applying Conversational AI best practices e.g. NLP and training data best practices1 years of experience in CICD, Git, unittesting and source code management1 years of knowledge
 </li>
 </ul>
 
 
</div>

Chatbot Developer

MASTER-WORKS

<div>We are seeking a talented and motivated AI Engineer with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. 
As part of our dynamic team, you will design, develop, and deploy next-generation AI solutions that enhance our products and services through intelligent automation, language understanding, and seamless communication systems.
Key Responsibilities
LLM Development &amp; Integration<ul><li>
Fine-tune and deploy Large Language Models for chatbots, content generation, and virtual assistants.</li><li>
Evaluate and optimize model performance in real-world use cases.</li><li>
Integrate LLMs into production environments ensuring scalability and reliability.</li></ul>
NLP System Design<ul><li>
Design and implement NLP algorithms for text classification, sentiment analysis, entity recognition, and summarization.</li><li>
Handle large text datasets for model training and validation.</li><li>
Collaborate with cross-functional teams to address language-related challenges.</li></ul>
Speech-to-Text Implementation<ul><li>
Develop and optimize speech-to-text (ASR) pipelines for multiple languages and dialects.</li><li>
Integrate speech recognition systems with NLP and LLM modules for end-to-end conversational experiences.</li><li>
Stay updated with advancements in Automatic Speech Recognition (ASR) technologies.</li></ul>
Performance Optimization<ul><li>
Improve AI model efficiency for real-time performance and scalability.</li><li>
Identify and mitigate biases to ensure model accuracy, fairness, and robustness.</li></ul>
Research &amp; Innovation<ul><li>
Stay current with cutting-edge research in LLMs, NLP, and Speech AI.</li><li>
Experiment with new architectures and techniques to drive innovation.</li></ul>
Documentation &amp; Collaboration<ul><li>
Maintain detailed documentation of models, datasets, and workflows.</li><li>
Collaborate with product managers, software engineers, and other stakeholders to deliver production-grade AI solutions.</li></ul> 
Requirements 
Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.</li><li>
Proven experience in LLM development (e.g., OpenAI GPT, Claude, or similar frameworks).</li><li>
Strong knowledge of NLP libraries (e.g., Hugging Face, spaCy, NLTK).</li><li>
Hands-on experience with speech-to-text tools (e.g., Whisper, Google Speech API, DeepSpeech).</li><li>
Proficiency in Python and frameworks like TensorFlow or PyTorch.</li><li>
Excellent analytical, problem-solving, and communication skills.</li></ul></div>

AI Engineer (Mid-Level)

<div>We are seeking a talented and motivated AI Engineer with expertise in Large Language Models
(LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies.
As part of our dynamic team, you will design, develop, and deploy next-generation AI solutions
that enhance our products and services through intelligent automation, language
understanding, and seamless communication systems.
Key Responsibilities
LLM Development &amp; Integration
 Fine-tune and deploy Large Language Models for chatbots, content generation, and
virtual assistants.
 Evaluate and optimize model performance in real-world use cases.
 Integrate LLMs into production environments ensuring scalability and reliability.
NLP System Design
 Design and implement NLP algorithms for text classification, sentiment analysis, entity
recognition, and summarization.
 Handle large text datasets for model training and validation.
 Collaborate with cross-functional teams to address language-related challenges.
Speech-to-Text Implementation
Develop and optimize speech-to-text (ASR) pipelines for multiple languages and
dialects.
 Integrate speech recognition systems with NLP and LLM modules for end-to-end
conversational experiences.
 Stay updated with advancements in Automatic Speech Recognition (ASR) technologies.
Performance Optimization
Improve AI model efficiency for real-time performance and scalability.
 Identify and mitigate biases to ensure model accuracy, fairness, and robustness.
Research &amp; Innovation
Stay current with cutting-edge research in LLMs, NLP, and Speech AI.
 Experiment with new architectures and techniques to drive innovation.
Documentation &amp; Collaboration
 Maintain detailed documentation of models, datasets, and workflows.
 Collaborate with product managers, software engineers, and other stakeholders to
deliver production-grade AI solutions. 
 
 
Requirements 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science,
or related fields.
 Proven experience in LLM development (e.g., OpenAI GPT, Claude, or similar
frameworks).
 Strong knowledge of NLP libraries (e.g., Hugging Face, spaCy, NLTK).
 Hands-on experience with speech-to-text tools (e.g., Whisper, Google Speech API,
DeepSpeech).
 Proficiency in Python and frameworks like TensorFlow or PyTorch.
 Excellent analytical, problem-solving, and communication skills.</div>

Technical Lead

Datamatics Technologies

<div>
 
 Role Overview
 
 
 Datamatics is seeking a highly motivated
 
 AI Engineer
 
 with a strong focus on designing, developing, and deploying production-grade
 
 LLM-powered applications
 
 . The ideal candidate will have hands-on experience with modern GenAI frameworks such as LangChain and LangGraph, and a deep understanding of Retrieval-Augmented Generation (RAG) architectures.
 
 
 Key Responsibilities
 
 
 AI Application Development
 
 <ul>
 <li>
 Design, develop, and deploy scalable AI applications using Python and modern GenAI frameworks (e.g., LangChain, LangGraph, LlamaIndex)
 </li>
 <li>
 Build production-ready LLM applications for real-world use cases across public health and enterprise domains
 </li>
 <li>
 Integrate state-of-the-art generative AI models to enhance product capabilities and consulting offerings
 </li>
 </ul>
 
 RAG &amp; NLP Engineering
 
 <ul>
 <li>
 Develop and optimize
 
 Retrieval-Augmented Generation (RAG)
 
 pipelines using advanced techniques such as:
 <ul>
 <li>
 Semantic search
 </li>
 <li>
 Hybrid search
 </li>
 <li>
 Re-ranking strategies
 </li>
 </ul>
 </li>
 <li>
 Apply NLP concepts including embeddings, Named Entity Recognition (NER), and text processing to improve model performance
 </li>
 <li>
 Fine-tune retrieval and generation strategies for accuracy, latency, and scalability
 </li>
 </ul>
 
 Architecture &amp; Scalability
 
 <ul>
 <li>
 Collaborate with Data Engineers and Data Scientists to design scalable, high-performance AI solutions
 </li>
 <li>
 Ensure smooth productionization of AI models in collaboration with MLOps teams
 </li>
 <li>
 Deploy and manage AI services using Kubernetes and containerization technologies
 </li>
 <li>
 Work with cloud platforms (AWS, Azure, or GCP) and big data ecosystems
 </li>
 </ul>
 
 Innovation &amp; Continuous Learning
 
 <ul>
 <li>
 Stay updated with the latest advancements in AI, LLMs, and NLP
 </li>
 <li>
 Contribute to innovation by experimenting with emerging tools, frameworks, and methodologies
 </li>
 <li>
 Drive adoption of best practices in AI engineering and system design
 </li>
 </ul>
 
 Required Qualifications
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field (with focus on AI/ML/NLP)
 </li>
 <li>
 1&ndash;3 years of hands-on experience in AI/ML application development
 </li>
 <li>
 Strong programming skills in Python
 </li>
 </ul>
 
 Required Skills
 
 <ul>
 <li>
 Experience with GenAI frameworks such as LangChain, LangGraph, and/or LlamaIndex
 </li>
 <li>
 Strong understanding of:
 <ul>
 <li>
 LLMs and prompt engineering
 </li>
 <li>
 RAG architectures
 </li>
 <li>
 Embeddings and vector databases
 </li>
 </ul>
 </li>
 <li>
 Familiarity with NLP techniques such as NER, semantic search, and text processing
 </li>
 <li>
 Experience with:
 <ul>
 <li>
 Kubernetes and containerization (Docker)
 </li>
 <li>
 Cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Big data tools (e.g., Apache Spark) and data lake architectures
 </li>
 </ul>
 </li>
 <li>
 Strong problem-solving, analytical thinking, and communication skills
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience building production-grade AI/LLM applications
 </li>
 <li>
 Exposure to MLOps practices and model lifecycle management
 </li>
 <li>
 Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate)
 </li>
 <li>
 Understanding of scalable system design and microservices architecture
 </li>
 </ul>
</div>

AI Engineer

Forsa Connect

Apply Now Directly:https://forsaconnect.com/job/95Senior AI/ML Engineer (LLMs | MLOps | AWS) &ndash; RemoteWe are looking for experienced AI/ML Engineers to join our team and work on advanced AI systems. This role starts as part-time and can transition into a full-time opportunity.Location: Egypt (Remote) Work Hours: U.S. Time ZoneKey Responsibilities:- Take technical interviews on behalf of our developers - Work on AI/ML systems including LLMs, NLP, and AI-driven applications - Support development and deployment of scalable AI solutions - Collaborate on real-world AI and software projectsRequirements:- 7+ years of experience in AI/ML or Software Engineering - Strong experience with LLMs, GenAI, NLP, or AI Agents - Hands-on experience with MLOps and model deployment - Experience with cloud platforms (AWS preferred) - Strong understanding of system design and scalable architectures - Excellent communication skillsCompensation:- Part-time: $20&ndash;$40/hr - Full-time: 40&ndash;50% of project income (~$4,000&ndash;$5,000/month)Job Type: Full-timeWork Location: Remote

AI/ML Engineer FC95

Agency VA

Job SummaryAgency VA Pakistan is seeking a skilled and forward-thinking AI Engineer with 2+ years of experience to design, develop, and deploy advanced artificial intelligence solutions that improve business operations and enhance internal systems. The ideal candidate will have hands-on experience in machine learning, natural language processing, conversational AI, and large language model integrations, with a strong command of Python and modern AI frameworks.The selected candidate will play a key role in developing AI-powered tools, workflow automation systems, intelligent assistants, and data-driven solutions to support business growth across multiple departments.Key Responsibilities<ul><li>Design, develop, and deploy AI-driven applications aligned with organizational requirements</li><li>Build and optimize intelligent chatbots and virtual assistants for internal and external use</li></ul>Develop NLP models for:<ul><li>Intent recognition</li><li>Entity extraction</li><li>Sentiment analysis</li><li>Automated response generation</li></ul>Integrate large language models (LLMs) using APIs such as:<ul><li>OpenAI</li><li>Claude</li><li>Other enterprise AI platforms</li></ul>Create scalable AI workflows using tools such as:<ul><li>LangChain</li><li>Vector databases</li><li>Retrieval-augmented generation (RAG)</li></ul>Collaborate with product, operations, and engineering teams to identify automation opportunitiesImprove AI model performance for:<ul><li>Accuracy</li><li>Speed</li><li>Reliability</li></ul>Deploy and monitor AI models in production environmentsMaintain technical documentation for AI systems and workflowsResearch and implement emerging AI technologies that can improve company efficiencyRequired Skills &amp; QualificationsMinimum 2+ years of experience in AI Engineering, NLP, or Machine Learning rolesBachelor&rsquo;s degree in:<ul><li>Computer Science</li><li>Artificial Intelligence</li><li>Data Science</li><li>Software Engineering &amp; Related field</li></ul>Strong proficiency in PythonExperience with AI/ML libraries such as:<ul><li>TensorFlow</li><li>PyTorch</li><li>Scikit-learn</li></ul>Hands-on experience with:<ul><li>NLP model development</li><li>LLM integrations</li></ul>Prompt engineeringExperience working with:<ul><li>REST APIs</li></ul>Backend system integrationsStrong understanding of:<ul><li>NLP pipelines</li><li>Deep learning</li><li>Model optimization</li></ul>Excellent analytical and problem-solving skillsStrong verbal and written communication skillsPreferred QualificationsExperience with cloud platforms such as:<ul><li>AWS</li><li>Azure</li></ul>Google CloudKnowledge of:<ul><li>Vector databases</li><li>RAG pipelines</li><li>AI orchestration tools</li></ul>Experience with Docker or containerized deploymentsFamiliarity with agile development environmentsContributions to AI or open-source projects are an advantageWhat We OfferCareer growth in a rapidly expanding technology environmentExposure to cutting-edge AI tools and enterprise systemsCollaborative and innovation-driven workplaceOpportunity to work with international teamsWork LocationThis position is on-site at Agency VA Pakistan Office, 1st Floor, Executive Complex, G-8 Markaz, Sector G-8, Islamabad, with occasional collaboration across regional and global teams.Pay: From Rs200,000.00 per monthApplication Question(s):<ul><li>This is a full time night shift position with working timings 6 PM to 3 AM Pakistan Standard Time and working days Monday to Friday. Our office is located in G-8 Markaz, Sector G-8, Islamabad. Are you comfortable working in this arrangement?</li><li>What is your current Salary?</li><li>What is your expected Salary?</li></ul>Experience:<ul><li>AI Automation: 3 years (Required)</li></ul>Work Location: In person

Openkyber

<div>Role: AI Engineer Location: Dallas TX 
JD:
<ul><li>Develop and deploy Python applications &amp; APIs following enterprise standards (security, scalability, performance).</li>
<li>Design and integrate LLM/SLM driven solutions using frameworks such as AutoGen, LangGraph, and other Agentic frameworks and patterns.</li>
<li>Apply classical ML and NLP techniques where appropriate.</li>
<li>Build systems leveraging SQL, NoSQL, and vector databases for AI workloads.</li>
<li>Architect and scale solutions in cloud ecosystems (Azure preferred).</li>
</ul>Thanks &amp; Regards 
OpenKyber E: hirings@openkyber.com
For applications and inquiries, contact: hirings@openkyber.com</div>

AI Systems Administrator

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